Biosystems Engineering最新文献_第2页

Influence of film-tensioning lines on the wind-induced responses of flat-elliptical pipe greenhouse 膜张拉线对扁平椭圆管温室风致响应的影响

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-30 DOI: 10.1016/j.biosystemseng.2025.104370

Hengyan Xie , Cunxing Wei , Xin Zheng , Wenbao Xu

Under extreme wind loads, plastic greenhouses frequently experience film uplift, which leads to structural instability and crop damage. Existing research predominantly focuses on the stability of the greenhouse skeletons and the effect of covering material on load-bearing capacity, while the significant role of the film-tensioning lines in enhancing the wind resistance of plastic greenhouses has received limited attention. This study investigates the wind-induced response of plastic greenhouses by utilising ABAQUS finite element software to establish two models: a film-skeletons (FS) model and a film-tensioning lines-film-skeletons (FFS) model. Both static and dynamic wind load analyses are performed based on the Davenport wind spectrum, using a linear filtering method to simulate fluctuating wind speeds. The study compares the wind-induced responses of various components and analyses the contact conditions between the film and the skeletons under different loading scenarios. The results demonstrate that the introduction of the film-tensioning lines significantly enhances the film's stiffness, optimises the stress distribution, and effectively suppresses excessive deformation of the film. Additionally, the film-tensioning lines alleviates stress concentration in the skeletons, limits skeletons displacement, increases the radial constraint on the film, and reduces shear stress between the film and the skeletons. Under dynamic wind loads, the reinforcing effect of the film-tensioning lines on both film and skeletons stiffness is even more pronounced. This research contributes to the theoretical skeletons for analysing the wind-induced responses of greenhouse components, providing a scientific basis for the accurate evaluation of the wind resistance of plastic greenhouses.

在极端风荷载作用下，塑料大棚经常发生薄膜隆起，导致结构失稳和作物受损。现有的研究主要集中在温室骨架的稳定性和覆盖材料对承载能力的影响上，而膜张拉线在提高塑料大棚抗风能力方面的重要作用却很少得到关注。本研究利用ABAQUS有限元软件对塑料大棚的风致响应进行了研究，建立了膜-骨架（FS）模型和膜-张拉线-膜-骨架（FFS）模型。基于达文波特风谱，采用线性滤波方法模拟脉动风速，进行了静态和动态风荷载分析。比较了不同荷载下各构件的风致响应，分析了膜层与骨架的接触条件。结果表明，膜张紧线的引入显著提高了膜的刚度，优化了膜的应力分布，有效地抑制了膜的过度变形。此外，膜张紧线缓解了骨架中的应力集中，限制了骨架的位移，增加了膜的径向约束，减小了膜与骨架之间的剪应力。在动风荷载作用下，膜张拉线对膜和骨架刚度的增强作用更为明显。本研究为分析温室构件的风致响应提供了理论框架，为准确评价塑料大棚的抗风能力提供了科学依据。

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引用次数: 0

Quantitative assessment and predictive modelling of stem damage during seedling separation in mechanical rice transplanting 水稻机械插秧分苗过程中茎损伤的定量评估与预测模型

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-26 DOI: 10.1016/j.biosystemseng.2025.104377

Dongdong Xi, Jinnan Que, Ruiling Shen, Fuming Kuang, Wei Xiong, Shun Zhang, Dequan Zhu

Rice seedling stems are particularly vulnerable to structural damage during the seedling separation phase of mechanical transplanting, especially under non-ideal plant-machine interactions. Owing to its internal and transient nature, such damage is inherently difficult to quantify or predict. This study presents a novel modelling framework for stem damage assessment, which establishes a quantitative relationship between the maximum impact load (F_max) during seedling separation and internal damage severity, quantified by the damaged area ratio (D_ar). High-speed imaging and triaxial force sensors were employed to measure F_max across seedlings aged 20, 30 and 40 d under varying transplanting speeds. Microscopic cross-sections of stems were analysed to calculate D_ar. A composite impact force model, incorporating stem bending rigidity, lateral needle–stem offset and contact duration, was developed to support experimental design. A strong positive correlation was observed between F_max and D_ar across all seedling age groups (ρ > 0.93, p < 0.001). At 100–150 rpm, D_ar generally remained below 2 %, whereas at higher speeds damage increased and at 300 rpm, 40 d seedlings showed a median D_ar > 8 %. Age-specific linear regression models achieved high predictive accuracy and good calibration (cross-validated R² of 0.86–0.91; RMSE of 0.33–0.73 percentage points in D_ar), while extending these models with a restricted cubic spline further reduced errors in the upper damage tail. This framework offers theoretical insights into age- and speed-dependent stem damage and practical tools for optimising transplanting parameters and supporting real-time, damage-aware control strategies to mitigate mechanical damage risk and improve seedling survival and post-transplant performance.

在机械插秧分苗阶段，特别是在非理想的机苗相互作用下，水稻幼苗茎秆特别容易受到结构损伤。由于其内部和瞬态性质，这种损害本质上是难以量化或预测的。本研究提出了一种新的茎损伤评估模型框架，该框架建立了幼苗分离时最大冲击载荷（Fmax）与内部损伤严重程度之间的定量关系，并用损伤面积比（Dar）量化。采用高速成像和三轴力传感器测量不同移栽速度下幼苗20d、30d和40d的Fmax。通过分析茎的微观截面来计算Dar。为支持实验设计，建立了包含杆弯曲刚度、横向针杆偏移量和接触时间的复合冲击力模型。Fmax与Dar在各苗龄组间呈显著正相关（ρ > 0.93, p < 0.001）。在100-150转/分时，Dar一般保持在2%以下，而在更高的转速下，损伤增加，在300转/分时，40 d幼苗的Dar中值为8%。特定年龄的线性回归模型具有较高的预测精度和良好的校准（交叉验证的R2为0.86-0.91；在Dar中RMSE为0.33-0.73个百分点），而用受限三次样条扩展这些模型进一步减少了上损伤尾的误差。该框架为年龄和速度相关的茎损伤提供了理论见解，并为优化移栽参数和支持实时、损伤感知控制策略提供了实用工具，以减轻机械损伤风险，提高幼苗存活率和移栽后性能。

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引用次数: 0

Establishment and correction of temperature-insensitive prediction model for soluble solid content of apples based on external parameter orthogonal algorithm 基于外部参数正交算法的苹果可溶性固形物含量温度不敏感预测模型的建立与校正

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-24 DOI: 10.1016/j.biosystemseng.2025.104367

Chang Zhou, Runze Wang, Zelin Ji, Xiyin Wang, Xingshu Li, Xiufang Xiong

Temperature changes will cause fluctuations in the visible near-infrared spectra of apples, which will affect the models’ robustness and accuracy in predicting the soluble solids content (SSC) of apples. By collecting the spectra and SSC data of apples at different temperatures, this study established common single temperature models, the mixed temperature model, and the models based on the external parameter orthogonalisation (EPO) algorithm. The results indicated that EPO algorithm can effectively eliminate the influence of temperature on the spectra, and does not affect the results of the characteristic wavelengths selection. Most of the selected characteristic wavelengths were distributed in the wavelength range of 700–900 nm. The models based on the EPO algorithm were employed to predict the samples at different temperatures. The concordance correlation coefficient (CCC) ranged between 0.865 and 0.882, and the ratio of performance of deviation (RPD) was in the range of 2.045–2.191. The models based on EPO algorithm achieved high prediction accuracy and were insensitive to temperature changes. The model established by using the spectral data in the 700–900 nm band processed by EPO algorithm had high prediction accuracy and low complexity. Finally, 60 samples were used to verify the performance of the model. It was found that there was no significant difference between the predicted values and the measured values (CCC = 0.892, RMSEP = 0.543 %, RPD = 2.173). The results of the study have practical implications for improving the economic efficiency of the apple industry, including the subsequent development of portable field testing equipment.

温度变化会引起苹果可见近红外光谱的波动，影响模型预测苹果可溶性固形物含量（SSC）的稳健性和准确性。本研究通过收集苹果在不同温度下的光谱和SSC数据，建立了常见的单一温度模型、混合温度模型和基于外部参数正交化（EPO）算法的模型。结果表明，EPO算法能有效消除温度对光谱的影响，且不影响特征波长选择的结果。选取的特征波长大部分分布在700 ~ 900 nm的波长范围内。采用基于EPO算法的模型对不同温度下的样品进行预测。一致性相关系数（CCC）在0.865 ~ 0.882之间，偏离绩效比（RPD）在2.045 ~ 2.191之间。基于EPO算法的模型预测精度高，且对温度变化不敏感。利用EPO算法处理的700 ~ 900 nm波段光谱数据建立的模型预测精度高，复杂度低。最后，用60个样本来验证模型的性能。预测值与实测值无显著性差异（CCC = 0.892, RMSEP = 0.543 %, RPD = 2.173）。研究结果对提高苹果产业的经济效益具有实际意义，包括后续便携式田间测试设备的开发。

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引用次数: 0

Corrigendum to “Correlation between rheological properties and maturity of passion fruit based on machine vision” [Biosystems Engineering 250 (2025) 236–249/ 008] “基于机器视觉的百香果流变特性和成熟度之间的相关性”的勘误表[生物系统工程250 (2025)236-249 / 008]

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-24 DOI: 10.1016/j.biosystemseng.2025.104371

Fan Lin, Dengjie Chen, Caihua Lu, Jincheng He

引用次数: 0

An enhanced cow-teat-detection model for automatic teat-cup-attachment devices 一种用于自动奶杯附着装置的增强奶牛奶头检测模型

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-23 DOI: 10.1016/j.biosystemseng.2025.104374

Mengjie Li , Juan Wang , Na Li , Yaju Liu , Xue Cheng , Xinpei Fu , Sirui Li

The production mode in which a milking device is manually set on the teats of dairy cows is inefficient and labour-intensive. Automatic teat-cup-attachment technology can reduce the labour-intensive and increase milking efficient. In order to automatically attach the teat cup more accurately and quickly, an enhanced cow-teat-detection model was proposed, which was utilized in an automatic teat-cup-attachment device. Based on the YOLOv7, the Wise-IoU loss function was introduced, which enhanced the fitting ability and convergence speed of the bounding box regression. To optimize the captures pertaining to the features of cow teats in a complex background and to reduce the loss of the features from a small target, a fourth feature scale was constructed in the Neck network. To make the model focus more on the detailed information related to the target and enhance the target-recognition accuracy, a Coordinate Attention (CA) mechanism was added to the Backbone network and to the Neck network. The comparison experiment and ablation experiment were performed on the self-made dataset. The results revealed that the mAP_0.5, Precision, and Recall of the improved YOLOv7 were 98.18 %, 97.50 %, and 96.15 %, respectively, which were 1.96, 2.07, and 2.67 percentage points higher than those of the baseline YOLOv7 model, respectively. The detection performance was significantly enhanced. This study provides the technical support for the milking device to achieve accurate positioning and rapid automatic teat-cup-attachment.

在奶牛的乳头上手动设置挤奶设备的生产模式效率低下，劳动密集型。自动贴杯技术，减少劳动强度，提高挤奶效率。为了更准确、快速地自动贴贴奶杯，提出了一种增强的奶牛奶头检测模型，并将其应用于自动贴贴奶杯装置中。在YOLOv7的基础上，引入Wise-IoU损失函数，增强了边界盒回归的拟合能力和收敛速度。为了优化复杂背景下奶牛乳头特征的捕获，减少小目标特征的丢失，在颈部网络中构建了第四个特征尺度。为了使模型更加关注与目标相关的详细信息，提高目标识别的精度，在主干网络和颈部网络中加入了坐标注意（CA）机制。在自制数据集上进行了对比实验和烧蚀实验。结果表明，改进后的YOLOv7模型的mAP0.5、Precision和Recall分别为98.18%、97.50%和96.15%，分别比基线YOLOv7模型提高了1.96、2.07和2.67个百分点。检测性能显著提高。本研究为挤奶装置实现准确定位和快速自动贴杯提供了技术支持。

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引用次数: 0

Coefficient of restitution considerations in the discrete element method for agricultural materials: A review 农业材料离散元法中恢复系数的考虑：综述

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-23 DOI: 10.1016/j.biosystemseng.2025.104364

Zhengpu Chen , Carl Wassgren , R.P.Kingsly Ambrose , Yuefeng Du , Zhenghe Song , Xiaoyu Li

The Discrete Element Method (DEM) has gained increasing popularity for modelling agricultural production machinery and processes. As a key DEM input parameter, the coefficient of restitution (COR) quantifies energy dissipation during particle contacts, and its accurate determination is critical for predicting realistic particle dynamics, flow patterns, and consequently the performance of agricultural machinery. Despite the importance of the COR, a comprehensive review on its determination and usage in agricultural DEM applications is currently lacking. To address this gap, this study reviewed recent literature, summarizing and evaluating COR definitions, determination approaches, influencing factors, and effects on simulation outcomes. Among different COR definitions, the velocity-based kinematic COR remains the most widely implemented in DEM software due to its computational efficiency and ease of measurement. Current measurement approaches, such as drop tests and pendulum impact tests, often require high-speed cameras, highlighting a need for simpler, more robust methods for rapid COR determination. As the COR is influenced by various factors including impact speed, impact angle, and material properties, further investigation into the value of implementing a parameter-dependent COR and its efficient incorporation into DEM simulations is needed. Research findings from previous DEM simulation studies indicate that the COR significantly influences measurements in dilute flow systems, while exerting less influence on the macroscopic flow behaviour of dense flow systems. Comprehensive sensitivity analyses of the COR in DEM simulations of agricultural production systems are lacking, limiting our understanding of its effects on simulation predictions. In summary, this study summarizes current knowledge, identifies best practices, provides guidelines for COR usage in DEM simulations, and outlines future research directions for the COR in DEM within agricultural contexts.

离散元法（DEM）在农业生产机械和过程建模方面越来越受欢迎。作为DEM的一个关键输入参数，恢复系数（COR）量化了颗粒接触过程中的能量耗散，其准确确定对于预测真实的颗粒动力学、流动模式以及农业机械的性能至关重要。尽管COR很重要，但目前缺乏对其在农业DEM应用中的确定和使用的全面审查。为了解决这一差距，本研究回顾了最近的文献，总结和评估了COR的定义、确定方法、影响因素以及对模拟结果的影响。在不同的COR定义中，基于速度的运动学COR由于其计算效率和易于测量而在DEM软件中得到了最广泛的应用。目前的测量方法，如跌落试验和摆锤冲击试验，通常需要高速摄像机，这突出表明需要更简单、更可靠的方法来快速确定COR。由于冲击速度、冲击角度和材料性能等多种因素影响着冲击响应响应，因此需要进一步研究实现参数依赖的冲击响应响应的价值，并将其有效地结合到DEM仿真中。以往的DEM模拟研究结果表明，在稀流体系中，COR对测量结果有显著影响，而对致密流体系的宏观流动行为影响较小。缺乏对农业生产系统DEM模拟中COR的综合敏感性分析，限制了我们对其对模拟预测影响的理解。总之，本研究总结了当前的知识，确定了最佳实践，为DEM模拟中COR的使用提供了指导方针，并概述了农业背景下DEM中COR的未来研究方向。

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引用次数: 0

Discrimination of autochthonous pig breeds from meat and fat samples by FT-NIR spectra FT-NIR光谱对地方猪品种肉和脂肪样品的鉴别

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-23 DOI: 10.1016/j.biosystemseng.2025.104366

S. Parrini , C. Dadousis , F. Sirtori , M.C. Fabbri , M. Čandek-Potokar , J.M. Garcia-Casco , B. Lebret , R. Nieto , C. Aquilani , R. Bozzi

The combination of Fourier transform near-infrared spectroscopy (FT-NIRS) of meat and fat samples and principal component discriminant analysis (DAPC) has been proposed as a tool for discriminating the local production of autochthonous pig breeds. Spectral samples (n = 272) belonging to 11 local European pig breeds, Longissimus muscle, and subcutaneous fat (both intact and minced) are collected. Classification accuracy based on DAPC was applied on FT-NIRS to predict breed of origin in i) semi-external cross-validation, splitting the data into training (80 %) and testing (20 %) sets; ii) external validation, in which one breed at a time was excluded from model training and classified in one of the remaining breeds. The effect of varying sample sizes from 50 % to 100 % of the data was assessed. Almost all breeds' spectra variability was summarised into two principal components for tissue and sample preparation. In cross-validation, intact fat yielded higher classification accuracies than intact meat, with less pronounced differences in minced samples. Success assignment rates of ∼81–83 % were obtained for two breeds in intact meat samples and were higher than 83 % for five breeds in fat samples. For minced samples, correct assignments between 80 % and 100 % were possible for five breeds, both in meat and fat samples. Sample size marginally affected the results. External validation confirmed similarity among some breeds, with greater accuracy for fat samples. The assignments success provides encouraging results for discriminating local pig production, mainly based on fat, using a rapid, eco-friendly FT-NIRS method, which could serve as tool for quality assurance.

本文提出了将肉和脂肪样品的傅里叶变换近红外光谱（FT-NIRS）与主成分判别分析（DAPC）相结合，作为判别地方猪品种的工具。收集了11个欧洲当地猪品种的光谱样本（n = 272）、最长肌和皮下脂肪（完整的和切碎的）。在半外部交叉验证中，将基于DAPC的分类精度应用于FT-NIRS预测品种来源，将数据分为训练集（80%）和测试集（20%）；Ii)外部验证，即每次将一个品种排除在模型训练之外，并将其分类到剩余的品种中。评估了从50%到100%不同样本量对数据的影响。几乎所有品种的光谱变异性都归结为组织和样品制备的两个主要成分。在交叉验证中，完整的脂肪比完整的肉产生更高的分类准确性，在切碎的样品中差异不太明显。在两个品种的完整肉类样本中获得了~ 81 - 83%的成功率，在5个品种的脂肪样本中获得了高于83%的成功率。对于切碎的样本，5个品种的肉类和脂肪样本的正确分配在80%到100%之间是可能的。样本量对结果影响不大。外部验证证实了某些品种之间的相似性，脂肪样本的准确性更高。作业的成功为使用快速、环保的FT-NIRS方法区分当地生猪生产提供了令人鼓舞的结果，主要基于脂肪，该方法可以作为质量保证的工具。

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引用次数: 0

Influence of angle of attack on hydrodynamic performance and its implications for designing semi-mobile aquaculture structures: A CFD study 攻角对水动力性能的影响及其对半移动式水产养殖结构设计的启示：CFD研究

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-22 DOI: 10.1016/j.biosystemseng.2025.104363

Duc Nguyen , Si Thu Paing , Sarah Wakes , Ross Vennell , Scott Rhone , Louise Kregting , Suzy Black

This study examines the influence of various angles of attack of current flow (0° to 90° with 10° intervals) on the hydrodynamic performance, surface shear stress and drag force of various designs of semi-mobile aquaculture structures. The structures were cylinder- and cone-shaped, with the porosity on the body varying from 0 % to 15 %. Computational Fluid Dynamics (CFD) was employed, and the modelled flow speed and drag force were validated with flume-based experiments on a scaled model, 2.16 m in length and 0.45 m³ in volume. It was found that when the angle of attack was 30° and 60°, flow acceleration, from 1 to 1.3

m s^{- 1}

, and low-speed zones (<0.1

m s^{- 1}

) occurred in the cylinder-shaped structure with an impermeable body (design 1A). However, flow speed was relatively uniform in the cone-shaped structure with porosity of 15 % (design 2A). When the angle of attack was 90°, flow speed in the structure increased from 0

m s^{- 1}

in design 1A to 0.4

m s^{- 1}

in design 2A. This indicated that hydrodynamics in design 2A could be more beneficial for fish welfare (increased water flow maintains dissolved oxygen) than design 1A, particularly during oblique flow conditions. However, the drag force exerted on design 2A is greater than those on design 1A. These differences in drag force increase when the flow speed increases and the volume of the structure increases, which could increase the operational costs. Overall, the findings of this work imply that designing aquaculture structures that benefit both fish and farmers is challenging, and balancing fish requirements with operational costs is crucial to select appropriate designs.

本研究考察了不同的水流攻角（0°~ 90°，间隔10°）对不同设计的半移动式水产养殖结构的水动力性能、表面剪应力和阻力的影响。结构为圆柱形和锥形，孔隙率为0% ~ 15%。采用计算流体力学（CFD）方法，在长度为2.16 m，体积为0.45 m3的比例模型上，通过基于水槽的实验验证了模型的流速和阻力。研究发现，当迎角为30°和60°时，具有不透水体的圆柱形结构（设计1A）中出现了1 ~ 1.3 ms−1的流动加速度和0.1 ms−1的低速区。而在孔隙率为15%的锥形结构中，流速相对均匀（设计2A）。当迎角为90°时，结构内的流速从设计1A的0 ms−1增加到设计2A的0.4 ms−1。这表明，与设计1A相比，设计2A中的水动力学对鱼类的福利更有利（增加水流维持溶解氧），特别是在斜流条件下。但是，设计2A的阻力大于设计1A。随着流速的增加和结构体积的增大，阻力的差异也会增大，这可能会增加操作成本。总的来说，这项工作的发现意味着设计对鱼类和农民都有利的水产养殖结构是具有挑战性的，平衡鱼类需求和运营成本对于选择适当的设计至关重要。

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引用次数: 0

A quantitative method of feeding demand for M. salmoides based on multi-source information fusion 基于多源信息融合的沙棘取食需求定量方法研究

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-22 DOI: 10.1016/j.biosystemseng.2025.104372

Yaping Li , Hequn Tan , Yiren Zhang , Xuefei Liu

Accurately predicting the feed intake of fish schools during intensive aquaculture is a crucial foundation for feeding decision systems. In the pond-based captive farming process, feeding devices cannot automatically and precisely adjust feeding strategies based on the farming environment, growth information, and parameters during the feeding process. To address this, a method based on multi-source information fusion is proposed to quantify the feeding demand of M. salmoides. Firstly, a two-stage feeding experiment was conducted to collect multi-source data from the first-stage feeding, along with supplementary feed intake (feed intake in the second stage). Secondly, a feeding endpoint detection algorithm was developed for the collected audio to identify feeding audio, and correlation analysis was applied to select features extracted from the feeding audio, which were processed utilising PCA to obtain the overall feeding feature. Thirdly, the SHAP method was used to identify the sensitive features. Finally, sensitive features were selected as inputs to establish a supplementary feed intake prediction model. Experimental results showed that the GBDT achieved the best performance among six ML models (CCC = 0.96, RMSE = 226.82 g, MAE = 173.93 g); The GBDT constructed in this study achieved an CCC of 0.93, an RMSE of 226.87 g, and an MAE of 170.55 g in real aquaculture scenarios; The GBDT-based feeding strategy achieved superior performance. This study enables the conversion of multi-source data into executable decision variables for feeding devices, thereby providing a data-driven decision-making framework for intelligent feeding systems.

准确预测集约化养殖过程中鱼群的采食量是饲喂决策系统的重要基础。在基于池塘的圈养养殖过程中，饲养装置无法根据养殖环境、生长信息和饲养过程中的参数自动、精确地调整饲养策略。针对这一问题，提出了一种基于多源信息融合的沙棘取食需求量化方法。首先，进行两期饲养试验，收集第一阶段饲养和补充采食量（第二阶段采食量）的多源数据。其次，针对采集到的音频，开发了一种馈送端点检测算法，对馈送音频进行识别，并利用相关分析对馈送音频提取的特征进行选择，利用主成分分析对提取的特征进行处理，得到整体馈送特征；再次，采用SHAP方法对敏感特征进行识别。最后，选取敏感特征作为输入，建立补充采食量预测模型。实验结果表明，GBDT在6种ML模型中表现最佳（CCC = 0.96, RMSE = 226.82 g, MAE = 173.93 g）；本研究构建的GBDT在真实养殖情景下的CCC为0.93，RMSE为226.87 g， MAE为170.55 g；基于gbdt的投料策略取得了优异的性能。本研究实现了将多源数据转化为供料装置可执行的决策变量，从而为智能供料系统提供数据驱动的决策框架。

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引用次数: 0

Erratum to “Mitigation of greenhouse gas and ammonia emissions due to livestock housing management practices: Analysis of the DATAMAN database” [Biosystems engineering (258), September 2025, 104260] “减少牲畜饲养管理实践造成的温室气体和氨排放：DATAMAN数据库的分析”[生物系统工程（258），2025年9月，104260]

IF 5.3 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Biosystems Engineering

Pub Date : 2025-12-19 DOI: 10.1016/j.biosystemseng.2025.104360

Vasileios Anestis , Wajid Umar , Federico Dragoni , Tony J. van der Weerden , Mélynda Hassouna , Alasdair Noble , Thomas Bartzanas , Barbara Amon

引用次数: 0